Data Analyst II

Advance English B2+/C1, Data Analytics, Hybrid, Technology
Costa Rica
September 22, 2024
Full Time
Urgent

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Job Description

This individual contributor is primarily responsible for assisting senior colleagues to support data-informed decisions, assist with data and information gathering for targeted variables in an established systematic fashion, and support data preparation for analytic efforts.  This position assists with the execution of creative data analytic approaches leading to actionable outcomes and assists with data analysis interpretation.                  

Essential Responsibilities                           

  • Assists with data analysis interpretation by organizing and editing reports and presentations that tell a compelling story to stakeholders to enable and influence decision-making.
  • Assists with data and information gathering for targeted variables in an established systematic manner by cleaning and organizing data; querying, merging, and extracting data across sources; completing routine
  • data refreshes and updates; and providing user support and documentation.
  • Assists with the execution of creative data analytic approaches leading to actionable outcomes by organizing metrics to be analyzed, calculating algorithms, and conducting basic analyses under the guidance of more senior employees, including descriptive statistics.
  • Completes work assignments by applying up-to-date knowledge in the subject area to meet deadlines; following procedures and policies and applying data and resources to support projects or initiatives; collaborating with others, often cross-functionally, to solve business problems; supporting the completion of priorities, deadlines, and expectations; communicating progress and information; identifying and recommending ways to address improvement opportunities when possible; and escalating issues or risks as appropriate.
  • Pursues self-development and effective relationships with others by sharing resources, information, and knowledge with coworkers and customers; listening, responding to, and seeking performance feedback; acknowledging strengths and weaknesses; assessing and responding to the needs of others; and adapting to and learning from change, difficulties, and feedback.
  • Supports data preparation for analytic efforts under the guidance of more senior employees by cleaning data to ensure quality and accuracy based on provided guidelines; and consolidating data.
  • Supports data-informed decisions under the guidance of more senior employees by working with clients to identify and clarify key business needs; assisting in the development of outcomes and process measures; translating business requirements; informing data/information needs and data collection methods; measuring the impact of business decisions on clients, customers, and/or members; working with clients and staff to identify opportunities and methods to improve efficiencies with analysis; supporting end-users; and documenting processes and deliverables.                                                     

Minimum Qualifications              

  • Bachelor’s degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field OR Minimum two (2) years experience in data analytics or a directly related field.
  • Minimum two (2) years experience with Excel.
  • Minimum one (1) year experience in data storytelling (insights and recommendations from data). Minimum one (1) year of experience in SQL. In lieu of degree, two (2) years of equivalent work experience in a directly related field may be substituted for the degree requirement for a total five (5) years.                                                                   

Additional Requirements

  • Data Extraction;
  • Data Visualization Tools
  • Relational Database  Management
  • Project Management”     Licenses and Certifications                                                                       

Preferred Qualifications

  • One (1) year experience working with artificial intelligence tools.
  • One (1) year experience working with business intelligence tools.
  • One (1) year experience working with Open Source Tools (e g , R, Python).
  • Three (3) year experience working with Excel.
  • One (1) year text analytics experience.
  • One (1) year experience working with Tableau.
  • One (1) year machine learning experience.
  • One (1) year deep learning experience.
  • One (1) year experience working with SPSS.
  • One (1) year data simulation experience.
  • One (1) year statistical modeling experience.
  • One (1) year robotic process automation experience.
  • Three (3) years experience working with SQL.
  • One (1) year experience working with quality management and data profiling tools.
  • One (1) year experience working with statistical analysis software.
  • One (1) year programming experience.
  • One (1) year experience working with SAS.                                                                       

Benefits

  • Transportation.
  • Life insurance.
  • Medical insurance.
  • Solidarity association.
  • Growth plans.
  • Additional days off.                                                                     

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